METHOD AND SYSTEM FOR AUTOMATIC REAL-TIME CAUSALITY ANALYSIS OF END USER IMPACTING SYSTEM ANOMALIES USING CAUSALITY RULES AND TOPOLOGICAL UNDERSTANDING OF THE SYSTEM TO EFFECTIVELY FILTER RELEVANT MONITORING DATA

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(11)

EP 4 235 436 A3

(12)	EUROPEAN PATENT APPLICATION

(88)	Date of publication A3:
	11.10.2023 Bulletin 2023/41

(43)	Date of publication A2:
	30.08.2023 Bulletin 2023/35

(21)	Application number: 23177719.4

(22)	Date of filing: 02.08.2019

(51)

International Patent Classification (IPC):

G06F 11/07^(2006.01)
G06F 11/34^(2006.01)

G06F 11/30^(2006.01)

(52)	Cooperative Patent Classification (CPC):
	G06F 11/0709; G06F 11/079; G06F 11/3006; G06F 11/3048; G06F 11/3466; G06F 11/3495; G06F 11/3452; G06F 2201/87

(84)	Designated Contracting States:
	AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

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Priority:

03.08.2018 US 201862714270 P
23.07.2019 US 201916519428

(62)	Application number of the earlier application in accordance with Art. 76 EPC:
	21172764.9 / 3882773
	19189900.4 / 3633511

(71)	Applicant: Dynatrace LLC
	Waltham, MA 02451 (US)

(72)	Inventors:
	Ambichl, Ernst 4020 Linz (AT) Moser, Herwig 4020 Linz (AT) Ertl, Otmar 4020 Linz (AT)

(74)	Representative: Bittner, Thomas L. et al
	Boehmert & Boehmert Anwaltspartnerschaft mbB Pettenkoferstrasse 22 80336 München 80336 München (DE)

(54)	METHOD AND SYSTEM FOR AUTOMATIC REAL-TIME CAUSALITY ANALYSIS OF END USER IMPACTING SYSTEM ANOMALIES USING CAUSALITY RULES AND TOPOLOGICAL UNDERSTANDING OF THE SYSTEM TO EFFECTIVELY FILTER RELEVANT MONITORING DATA

(57) The disclosure relates to a computer-implemented method for monitoring performance in a distributed computing environment. Further, a computer-implemented system for monitoring performance in a distributed computing environment is provided. The disclosed technology is directed to a focused and directed identification of causal dependencies between identified and localized abnormal operating conditions on a monitored system comprising in software and hardware components. A heterogeneous set of monitoring agents is deployed to components of the monitored system that provide monitoring data describing the operating conditions of monitored components.

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